User:Aboelhamd - Revision history

Aboelhamd at 10:34, 21 April 2019

2019-04-21T10:34:26Z

Aboelhamd at 01:26, 10 April 2019

2019-04-10T01:26:19Z

Aboelhamd at 01:25, 10 April 2019

2019-04-10T01:25:23Z

Aboelhamd at 01:24, 10 April 2019

2019-04-10T01:24:35Z

Aboelhamd at 22:21, 8 April 2019

2019-04-08T22:21:35Z

Aboelhamd at 22:14, 8 April 2019

2019-04-08T22:14:39Z

Aboelhamd at 22:11, 8 April 2019

2019-04-08T22:11:55Z

Aboelhamd at 22:11, 8 April 2019

2019-04-08T22:11:14Z

Aboelhamd: Replaced content with "Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, co..."

2019-04-08T18:57:04Z

Replaced content with "Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, co..."

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Aboelhamd at 18:33, 8 April 2019

2019-04-08T18:33:07Z

← Older revision		Revision as of 10:34, 21 April 2019
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	GSoC 2019 proposal => [[User:Aboelhamd/proposal]]		GSoC 2019 proposal => [[User:Aboelhamd/proposal]]

			GSoC 2019 progress => [[User:Aboelhamd/progress]]

← Older revision		Revision as of 01:26, 10 April 2019
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	~~Problem solver, bachelor~~ student, to-be Masters student, languages lover, coding lover, always willing to learn and always willing to help.		Bachelor student, to-be Masters student, problem solver, languages lover, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal => [[User:Aboelhamd/proposal]]		GSoC 2019 proposal => [[User:Aboelhamd/proposal]]

← Older revision		Revision as of 01:25, 10 April 2019
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	~~problem~~ solver, ~~Bachelor~~ student, to-be Masters student, languages lover, coding lover, always willing to learn and always willing to help.		Problem solver, bachelor student, to-be Masters student, languages lover, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal => [[User:Aboelhamd/proposal]]		GSoC 2019 proposal => [[User:Aboelhamd/proposal]]

← Older revision		Revision as of 01:24, 10 April 2019
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	~~Machine learning Engineer, problems~~ solver, Bachelor student, to-be Masters student, ~~part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research~~ ~~paper~~, coding lover, always willing to learn and always willing to help.		problem solver, Bachelor student, to-be Masters student, languages lover, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal => [[User:Aboelhamd/proposal]]		GSoC 2019 proposal => [[User:Aboelhamd/proposal]]

← Older revision		Revision as of 22:21, 8 April 2019
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	Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.		Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal[[User:Aboelhamd/proposal]]		GSoC 2019 proposal => [[User:Aboelhamd/proposal]]

← Older revision		Revision as of 22:14, 8 April 2019
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	Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.		Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal[[proposal]]		GSoC 2019 proposal[[User:Aboelhamd/proposal]]

← Older revision		Revision as of 22:11, 8 April 2019
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	Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.		Machine learning Engineer, problems solver, Bachelor student, to-be Masters student, part-time high-performance-computing Engineer, open-source contributor at apertium, contributor in an state-of-art rule-based-machine-translation research paper, coding lover, always willing to learn and always willing to help.

	GSoC 2019 proposal[[~~aboelhamd/~~proposal]]		GSoC 2019 proposal[[proposal]]

@@ Line 101: / Line 101: @@
 There are additional thoughts and modifications to the weighted transfer rules proposed in the aforementioned documentation[https://docs.google.com/document/d/1t0VnUhw_LwN0oNL7Sk1fqSJyPnWdxYElesuIV_htn7o/edit?usp=sharing].<br />
 And if some of them are valid, They could be applied along with the extension too.
-Also now I am looking for some newer machine or deep learning methods to apply as alternative for yasmet and max entropy method. The main search will be looking at some related papers that tackle some similar problems or the exact problem, and how some of them applied machine learning or deep learning to solve such problem/s.
+Also now I am looking for some newer machine or deep learning methods to apply as alternative for yasmet and max entropy method. The main search will be looking at some related papers that tackle some similar problems or the exact problem, and how some of them applied machine learning or deep learning to solve such problem/s.<br />
+Some of the papers I will begin with are :<br />
+) Rule Based Machine Translation Combined with Statistical Post Editor for Japanese to English Patent Translation[http://www.mt-archive.info/MTS-2007-Ehara.pdf].(2007)<br />
+) Machine translation model using inductive logic programming[https://scholar.cu.edu.eg/?q=shaalan/files/101.pdf].(2009)<br />
+) Machine Learning for Hybrid Machine Translation[https://www.aclweb.org/anthology/W12-3138.pdf].(2012)<br />
+) Study and Comparison of Rule-Based and Statistical Catalan-Spanish Machine Translation Systems[https://pdfs.semanticscholar.org/a731/0d0c15b22381c7b372e783d122a5324b005a.pdf?_ga=2.89511443.981790355.1554651923-676013054.1554651923].(2012)<br />
+) Latest trends in hybrid machine translation and its applications[https://www.sciencedirect.com/science/article/pii/S0885230814001077].(2015)<br />
+) Multi-Source Neural Translation[https://arxiv.org/abs/1601.00710].(2016)<br />
+) Neural Machine Translation with Extended Context[https://arxiv.org/abs/1708.05943].(2017)<br />
+) Handling Homographs in Neural Machine Translation[https://arxiv.org/abs/1708.06510].(2017)<br />
+) Machine Translation: Phrase-Based, Rule-Based and NeuralApproaches with Linguistic Evaluation[http://www.dfki.de/~ansr01/docs/MacketanzEtAl2017_CIT.pdf].(2017)<br />
+) A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects[https://www.mdpi.com/2076-3417/8/12/2502/htm].(2018)<br />
@@ Line 115: / Line 126: @@
 === How and who will it benefit in society ? ===
 As the project will hopefully enhance apertium translation and make it closer to human translation, apertium will be more reliable and efficient to use in daily life and for document translation, which -in the long term- will enrich the data of languages with data scarcity, and hence help the speakers of such languages enriching and preserving their languages from extinction.<br />
-Some of the papers I will begin with are :<br />
-) Rule Based Machine Translation Combined with Statistical Post Editor for Japanese to English Patent Translation[http://www.mt-archive.info/MTS-2007-Ehara.pdf].(2007)<br />
-) Machine translation model using inductive logic programming[https://scholar.cu.edu.eg/?q=shaalan/files/101.pdf].(2009)<br />
-) Machine Learning for Hybrid Machine Translation[https://www.aclweb.org/anthology/W12-3138.pdf].(2012)<br />
-) Study and Comparison of Rule-Based and Statistical Catalan-Spanish Machine Translation Systems[https://pdfs.semanticscholar.org/a731/0d0c15b22381c7b372e783d122a5324b005a.pdf?_ga=2.89511443.981790355.1554651923-676013054.1554651923].(2012)<br />
-) Latest trends in hybrid machine translation and its applications[https://www.sciencedirect.com/science/article/pii/S0885230814001077].(2015)<br />
-) Multi-Source Neural Translation[https://arxiv.org/abs/1601.00710].(2016)<br />
-) Neural Machine Translation with Extended Context[https://arxiv.org/abs/1708.05943].(2017)<br />
-) Handling Homographs in Neural Machine Translation[https://arxiv.org/abs/1708.06510].(2017)<br />
-) Machine Translation: Phrase-Based, Rule-Based and NeuralApproaches with Linguistic Evaluation[http://www.dfki.de/~ansr01/docs/MacketanzEtAl2017_CIT.pdf].(2017)<br />
-) A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects[https://www.mdpi.com/2076-3417/8/12/2502/htm].(2018)<br />
 == Work plan ==